Botpress

Make API calls from the Studio in two clicks with the Workflow Hub. The Workflow Hub is repository of publicly available workflows built by other bot builders. To access pre-built flows, just install your workflow of choice and drag the card into the Studio. With the Workflow Hub, you can drag-and-drop cards that: ▶️ Send delayed messages ▶️ Get Knowledge Base files ▶️ Schedule Calendly events Happy bot building!

Safeguard your AI agents from off-topic conversations. With the Policy Agent, users can easily prevent their AI agents from addressing off-brand topics. With just a few clicks and plain language instructions, builders can direct their Policy Agent to avoid specific companies, items, or ideas. Maintain control over your AI conversations. Watch our 2-minute tutorial on setting up the Policy Agent. 🔗 https://lnkd.in/ePNs925i

“Grasping the art of the possible with AI is challenging. Its rapid evolution leaves many of us in the dust week after week.” In his latest article, Botpress CRO Mathieu Weber explains the key stages of this rapid evolution, from NLP chatbots to LLMs to AI agents. AI ‘chatbots’ are no longer about conversation. They don’t just communicate, but automate and orchestrate. "With the ability to seamlessly integrate with multiple platforms and data sources, next-gen AI agents are redefining what's possible in enterprise automation." Read the full piece here: https://lnkd.in/eGdJpQRC

Automation is powerful. Control is everything. Human-in-the-loop blends AI efficiency with human oversight, giving enterprises the power to fine-tune decisions and step in when it matters most. With human-in-the-loop (HITL), Team Plan and Enterprise users can now participate in an AI agent's conversation directly from the Botpress dashboard. Your AI handles the heavy lifting, but you keep the final say — especially when the stakes are high. Master the balance between artificial and human intelligence. Try out HITL on Botpress today.

Businesses across the world use Botpress to deploy AI agents in their sales, marketing, engineering, IT, and HR functions. We're proud to see that reflected in the #G2 Fall 2024 report, which recognizes the satisfaction of customers who use Botpress for AI agents, conversational marketing, chatbots, and generative AI infrastructure. Thank you to the hundreds of thousands of people who build AI agents on Botpress everyday.

75% of organizations that try to build in-house AI agents will fail. The figure comes from Forrester’s 2025 predictions for AI, which named AI agents as one of its top 10 emerging technologies. “Savvy firms will grasp current limitations and lean on their vendor and systems integrator partners to build agents at the cutting edge of this technology,” explain the authors. Companies that try to roll out their own customized agents tend to get tripped up by: ▶ Fragmented internal data ▶ Underestimating the needed resources ▶ Lack of in-house expertise “Agentic AI is all the rage as companies push gen AI beyond basic tasks into more complex actions,” the authors write. “The challenge is that these architectures are convoluted, requiring multiple models, advanced RAG stacks, advanced data architectures, and specialized expertise.” Read the full article on the report here: https://lnkd.in/efB24HcP

Business process automation (BPA) is how smart companies scale faster and work smarter. From streamlining workflows to cutting out inefficiencies, BPA helps organizations focus on what matters. #AI #automation

Not all LLM output is created equal. Customizing one can make all the difference. In his latest article, Botpress software engineer Patrick Hamelin explains four approaches to customizing LLMs to meet the unique requirements for an AI project: ⚪ Retrieval-augmented generation (RAG) ⚪ Fine-tuning ⚪ N-shot learning ⚪ Prompt engineering Patrick details the benefits and costs of each, how to pick an LLM, and key considerations — like privacy and strategy — that should determine a customization approach. Read the full article here: https://lnkd.in/ee4Yf2fV

Previously known as Strawberry or Q*, OpenAI’s latest LLM is here. With enhanced reasoning abilities, the new o1 model series is far more adept at tasks within mathematics, science, and coding than GPT-4o. Released yesterday to ChatGPT Plus and Team users, the new o1 model is now available for limited use, with a continued roll-out on the way. Here’s a round-up of everything you need to know about OpenAI o1. 🔗 https://lnkd.in/exJExSnA #openai #o1 #AI

Computed Table Columns bring the power of LLMs to your structured data. Perform AI-powered actions like summarization or sentiment analysis alongside programmatic calculations on your tabular data. Computed columns allow you to streamline lengthy operations or calls to LLMs so you can enhance data ingestion and analysis across Sales, Marketing, and Growth Teams. Learn how to set up computed columns and discover best practices for implementing them in your agent's workflow: https://lnkd.in/ei2HSUHq